Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to launch relaxAI, an AI assistant designed with one paramount focus: your privacy. In a world where AI tools are becoming indispensable but concerns about data usage are at an all-time high, relaxAI has been created as an assistant you can trust by combining cutting-edge AI capabilities with an unwavering commitment to security and transparency.

Ever been on the receiving end of a useless chatbot response? Imagine asking, “Why is my 5G down in this area?” and getting, “Try restarting your device.” No context. No understanding. No real help. The issue here, however, isn’t bad intent—it’s that the bot doesn’t understand telecom-specific language or service outage patterns. Instead of easing your support load, it’s driving frustrated customers to jam your support lines.

In bridging traditional enterprise environments with modern GPU resources, we're helping organizations build AI infrastructure that's truly ready for production workloads. Co-authored by Duncan Ng, Vice President Solutions Engineering, Vultr As enterprises move from AI experimentation to production deployment, most are realizing a fundamental truth: Successful AI adoption requires more than just access to GPU computing power.

As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.

2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the previous year (source: Gartner). In the same report, organizations answered that they are using AI in more than one part of their business, with 65% of respondents mentioning they use GenAI in one function.

The traditional data center is undergoing a dramatic transformation. As artificial intelligence reshapes industries from healthcare to financial services, it’s not just the applications that are changing—the very infrastructure powering these innovations requires a fundamental rethinking. Today’s data center bears little resemblance to the server rooms of the past.